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Exploring the Cascade Model for Size Distribution and Probability at Varying Levels

This document delves into the cascade model, emphasizing the increasing nature of N, which denotes smaller scales in the function M(N) = Φrgl3. It highlights how the probability of occurrence varies with the level of Smin, specifically focusing on key parameters Φ1 and Φ2. The analysis reveals that the highest probability and size at each level is crucial for determining the primary size distribution. Understanding these relationships enhances our comprehension of dynamic systems where size and probability are interlinked.

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Exploring the Cascade Model for Size Distribution and Probability at Varying Levels

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  1. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  2. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  3. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  4. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  5. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  6. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  7. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  8. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level Smin 1 2 Highest probability and size at each level gives primary size distrib

  9. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  10. Cascade model: increasing N represents smaller scales M(N)=rgl3 Fp(>T) Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  11. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  12. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  13. Cascade model: increasing N represents smaller scales M(N)=rgl3 1 Probability varies with level Smin 2 Highest probability and size at each level gives primary size distrib

  14. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  15. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  16. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  17. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

  18. Cascade model: increasing N represents smaller scales M(N)=rgl3 Probability varies with level 1 Smin 2 Highest probability and size at each level gives primary size distrib

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